Abstract
Purpose
Robotic-assisted minimally invasive esophagectomy (RAMIE) has become one standard approach for the operative treatment of esophageal tumors at specialized centers. Here, we report the results of a prospective multicenter registry for standardized RAMIE.
Methods
The German da Vinci ** registry trial included all consecutive patients who underwent RAMIE at five tertiary university centers between Oct 17, 2017, and Jun 5, 2020. RAMIE was performed according to a standard technique using an intrathoracic circular stapled esophagogastrostomy.
Results
A total of 220 patients were included. The median age was 64 years. Total minimally invasive RAMIE was accomplished in 85.9%; hybrid resection with robotic-assisted thoracic approach was accomplished in an additional 11.4%. A circular stapler size of ≥28 mm was used in 84%, and the median blood loss and operative time were 200 (IQR: 80–400) ml and 425 (IQR: 335–527) min, respectively. The rate of anastomotic leakage was 13.2% (n=29), whereas the two centers with >70 cases each had rates of 7.0% and 12.0%. Pneumonia occurred in 19.5% of patients, and the 90-day mortality was 3.6%. Cumulative sum analysis of the operative time indicated the end of the learning curve after 22 cases.
Conclusions
High-quality multicenter registry data confirm that RAMIE is a safe procedure and can be reproduced with acceptable leak rates in a multicenter setting. The learning curve is comparably low for experienced robotic surgeons.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Currently, esophagectomy within a multimodal treatment plan is the preferred management of patients with resectable esophageal cancer [16]. The introduction of minimally invasive techniques for esophagectomy has revolutionized surgical treatment leading to lower perioperative morbidity and better quality of life [18, 21, 26]. Hybrid laparoscopic/thoracoscopic minimally invasive esophagectomy (MIE) and robotic-assisted minimally invasive esophagectomy (RAMIE) have both led to a significant reduction in pulmonary infections and postoperative pain in randomized clinical trials [2, 19, 34] while maintaining oncologic radicality [24]. Some key advantages of the robotic-assisted technique, especially during transthoracic resection and reconstruction, are an increased range of motion of the instruments within the rigid thoracic cage, the optional use of three arms, and an improved surgical view with standard 3DHD visualization [13]. Although several techniques of reconstruction after MIE have been reported, the majority of European centers favor minimally invasive intrathoracic esophagogastrostomy [14, 35]. The use of a circular stapler appears to be advantageous with regard to the AL rate, although this question has not yet been conclusively clarified [5]. Experienced centers have published the first larger single-center reports of RAMIE with excellent oncological results and low mortality rates of 1–3% [25, 33].
The German da Vinci ** of 15 consecutive patients was performed for each center. Moreover, we accomplished a case grou** (n=15) for each surgeon with more than 30 cases and studied the median reduction in the operative time of subsequent cases compared with the initial 15 cases. For further investigation of the learning curve, a cumulative sum (CUSUM) analysis of the total operative time was performed. This technique is a graphical method to transform raw data into a running total of differences from the group average. Therefore, a chronological arrangement of all cases from the first to the last by the center (or by the leading surgeon, respectively) was performed. Then, CUSUM values were calculated according to the following formula: CUSUM = Σ (x i−μ), where x i is the total operative time of the individual case and μ is the mean operative time of the corresponding center or leading surgeon [30, 36]. Finally, the CUSUM values were plotted on the vertical axis according to their case number on the horizontal axis. Learning curves could be determined by visual interpretation of the chart. The end of the learning curve was predefined as inflection of the curve to a plateau or decrease.
Continuous variables are presented as medians with interquartile ranges (IQRs). The evaluation for nonparametric variables was performed with the Mann-Whitney U test. Univariate analysis was computed using cross tabulation and the chi-square test or Fisher’s exact test.
Results
Patient characteristics and histopathological results
In total, 220 patients were included in the analysis (center 1: 72; center 2: 41; center 3: 83; center 4: 10; center 5: 14). The median age of the patients was 64 years (IQR 58–72), and 85.5% (n=188) were male. Two-thirds of the patients had significant comorbidities (ASA ≥III), and the median BMI was 26.2 kg/m2 (IQR 23.6–29.4). No further information of race or ethnicity of the patients was collected routinely in the **s (p=0.024). The median operative time subsequently dropped from 439 min (cases 16–30; n=45) to 402 min (cases 31–45; n=41) (p=0.126). Although the median operative time was further reduced to 349 min after >60 cases (n=35), the difference was not statistically significant when compared with cases 46–60 (p=0.089; n=30) (Fig. 2a). Similar results were observed if the median operative time of the thoracic part only was analyzed: the median operative time of cases 1–15 was longer than that of the consecutive case grou**s (p=0.023). However, a significant reduction in the operative time for the abdominal part was not seen until a caseload >60 (p≤0.001) (Suppl. Fig. 1). The three most experienced surgeons of the participating centers could significantly improve their individual median operative time by approximately −4.8% after cases 16–30 (n=45) and approximately −11.6% after >30 cases (n=50) (p≤0.021). Likewise, there was a trend toward a further operative time reduction from cases 16–30 to cases >30, but without statistical significance (p=0.057) (Fig. 2b).
Operative time of the RAMIE procedure. A Operative time including abdominal and thoracic parts of all procedures in all 5 centers (n=220). The median operative time (min) is shown stratified by chronological grou** of 15 cases (*p≤0.024). B Operative time for the three surgeons with >30 RAMIE procedures. The graph displays the median difference in the operative time from the first 15 cases compared with cases 16–30 and cases >30 for the three surgeons with the highest case load (*p≤0.021)
The pooled CUSUM graph for all centers showed a peak (inflection point) with a slow decrease after 22 cases, indicating the end of the learning curve for the total operative time (Fig. 3a). The CUSUM graphs for the three centers with more than 22 RAMIE procedures revealed different end points of the learning curve: the inflection point in center 1 was at 22 cases, center 2 reached a plateau after 13 cases, and center 3 reached a plateau after just 10 cases (Fig. 3b). The CUSUM analysis for the leading surgeons of the three most experienced centers showed the same end points of the learning curve of surgeons B and C as for their related centers 2 and 3 (Fig. 3c). This finding is not surprising because the leading surgeon in these two centers performed (nearly) all procedures (78.3% and 100%, respectively). In center 1, three surgeons routinely performed RAMIE, which explains the longer learning curve for this center. The point of inflection for leading surgeon A of center 1 was at the 9th case (Fig. 3c).
CUSUM analysis of the operative time. A CUSUM analysis including all five centers. The inflection point after the 22nd procedure marks the end of the learning curve. B CUSUM analysis including the three centers with >22 RAMIE cases. C The CUSUM analysis for the leading surgeons of the three most experienced centers
The impact of the learning curve on intraoperative findings, postoperative course, and mortality
Based on the CUSUM analysis, perioperative outcome parameters were compared in relation to the pre- and post-learning curve cohort (≤22 and >22 cases). The latter cohort was operated on with less blood loss (p<0.001), a shorter operative time (p<0.001), and a lower rate of postoperative pneumonia (p=0.046). Additionally, there was a trend toward a lower conversion (11.1 to 4.6%; p=0.061) and 90-day readmission rate (12.2to 5.4%, p=0.059) after >22 cases. Other outcome parameters, including major complications CDC ≥3b, AL rate, textbook outcome, and intensive care parameters, were not significantly different between the two groups (Table 4).
All operated cases (n=220) were included in a univariate analysis to identify predictive factors for the development of AL (Suppl. Tab. S1). However, none of the tested variables significantly correlated with the occurrence of AL.
Discussion
This is the first report of a prospective multicenter registry trial evaluating the short-term outcome of RAMIE with an intrathoracic circular stapled anastomosis. Because of the potentially beneficial effects of the RAMIE approach on short-term patient outcome, the participating university centers agreed on a prospective multicentric registry study to evaluate the safety and potential benefits of RAMIE during the implementation phase and beyond with a standardized technique. The aim of this registry study was to generate data to assess the da Vinci ** surgical system for esophagectomy regarding clinical outcome. The multicenter RAMIE program included a uniform technique with an intrathoracic (Ivor Lewis) circular stapled esophagogastrostomy using a minithoracotomy. According to the present knowledge, circular stapled anastomosis is the most frequently performed anastomosis technique during RAMIE [14].
Overall, approximately 80% of the operations were minimally invasive using the da Vinci ** robotic system (fully robotic), and the thoracic part, including the anastomosis, was robotic-assisted in 94% (207) of the cases; whereas in thoracoscopic approaches (MIE), the conversion rate was 14% [2, 28]. This result demonstrates that the RAMIE technique is feasible in most cases. The rate of a fully robotic-assisted approach was higher than that in a recent international registry report, where only 54% of the cases were not hybrid procedures [14]. Other high-volume centers for RAMIE combine an abdominal open or laparoscopic part with the robotic-assisted thoracic part [25]. A direct comparison of an open abdominal operation phase and a total RAMIE revealed no significant differences regarding oncological radicality and recurrence-free survival, suggesting that robotic-assisted abdominal lymphadenectomy is adequate [23]. The oncological quality in the present study, as indicated by the R0 resection rate (93%) and the median number of resected lymph nodes (n=25), is comparable with recent single-center series [14, 25, 34].
The current results from leading esophagus surgery centers support the use of a circular stapler esophagogastrostomy, especially for minimally invasive intrathoracic anastomosis [5, 22]. The stapler diameter should be selected according to the individual anatomical situation of the patient but with preference for the largest possible diameter; however, a significant difference regarding anastomotic leakage and stricture was not identified between 25- and 28-mm diameter sizes [29]. In our analysis, in 84% of all cases, a stapler size equal to or greater than 28 mm was used for esophagogastrostomy, which could contribute to the markedly low leakage rate.
According to the available randomized data, the strength of MIE/RAMIE is the lower postoperative morbidity, especially a reduced rate of pulmonary complications. A recent propensity score-matched comparison and meta-analysis concluded that RAMIE has significantly lower rates of pneumonia or pulmonary complications than laparoscopic MIE and should potentially be considered the standard technique for esophagectomy [31, 37]. In the present trial, the rates of postoperative pneumonia and anastomotic leakage were 19.5% and 13.2%, respectively, compared with 23% and 20%, respectively, in the international registry (out of the 331 fully robotic Ivor Lewis cases) [14].
Interestingly, the present analysis showed that key characteristics and complications such as operative time, blood loss, the rate of pneumonia, and anastomotic leakage can be further improved after a learning experience of 22 cases, which was the initial CUSUM-based learning curve plateau for all five centers. The CUSUM analysis was designed for detecting minor changes in datasets to visualize trends describing the learning curve [8]. Interestingly, in another German single-center analysis, also a case load of 22 was necessary to overcome the learning curve for RAMIE procedure [1]. A comparable number of cases for completion of the learning curve (20–24 cases) have been reported by other centers, especially for experienced robotic-assisted surgeons [10, 15, 32]. In contrast, MIE was usually coupled with longer learning processes with flat learning curves; 54–119 cases were reported to be required to reach a stable plateau [3]. Robotic-assisted surgery instead displays distinct steeper learning curves, likely due to special da Vinci surgical system training programs and the existing competence of most participating surgeons in MIE surgery [27]. The present study further confirms that single experienced surgeons can reach the plateau for RAMIE within a proctored program even earlier.
Prior experience in robotic-assisted surgery seems to be of high importance. Increased overall and pulmonary complications and reoperation rates were observed after the TIME trial setting, with excellent short-term outcomes after MIE implementations in nationwide practice. The authors concluded that this may reflect the completion of the MIE procedure by nonexpert surgeons in a nonstandardized fashion outside of high-volume centers [20]. Therefore, recommendations toward RAMIE should be given after considering the center volume and experience of the leading surgeons.
The advantage of the study design is the multicenter setting with a uniform technique and the high quality of the data that was prospectively recorded and closely monitored. Alternatively, the data are limited by a heterogeneous set of lead surgeons and assistants in different centers, and minor modifications of the standard operative techniques were observed (e.g., insertion of jejunal feeding tubes or differences in the number of chest drains or the use of oral antibiotics on the day before the operation).
Conclusions
In conclusion, the present high-quality multicenter registry data confirm that RAMIE is a safe procedure and can be reproduced with acceptable leak rates and promising short-term results in a multicenter setting. The learning curve is comparably low at approximately 22 cases for experienced surgeons and in a setting with interinstitutional proctoring.
References
Berlth F, Mann C, Uzun E et al (2020) Technical details of the abdominal part during full robotic-assisted minimally invasive esophagectomy. Dis Esophagus 33. https://doi.org/10.1093/dote/doaa084
Biere SS, Van Berge Henegouwen MI, Maas KW et al (2012) Minimally invasive versus open oesophagectomy for patients with oesophageal cancer: a multicentre, open-label, randomised controlled trial. Lancet 379:1887–1892. https://doi.org/10.1016/S0140-6736(12)60516-9
Claassen L, Van Workum F, Rosman C (2019) Learning curve and postoperative outcomes of minimally invasive esophagectomy. J Thorac Dis 11:S777–S785. https://doi.org/10.21037/jtd.2018.12.54
Clavien PA, Barkun J, De Oliveira ML et al (2009) The Clavien-Dindo classification of surgical complications: five-year experience. Ann Surg 250:187–196. https://doi.org/10.1097/SLA.0b013e3181b13ca2
De Groot EM, Moller T, Kingma BF et al (2020) Technical details of the hand-sewn and circular-stapled anastomosis in robot-assisted minimally invasive esophagectomy. Dis Esophagus 33. https://doi.org/10.1093/dote/doaa055
Dindo D, Demartines N, Clavien PA (2004) Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg 240:205–213. https://doi.org/10.1097/01.sla.0000133083.54934.ae
Egberts JH, Biebl M, Perez DR et al (2019) Robot-assisted oesophagectomy: recommendations towards a standardised ivor lewis procedure. J Gastrointest Surg 23:1485–1492. https://doi.org/10.1007/s11605-019-04207-y
Grigg OA, Farewell VT, Spiegelhalter DJ (2003) Use of risk-adjusted CUSUM and RSPRT charts for monitoring in medical contexts. Stat Methods Med Res 12:147–170. https://doi.org/10.1177/096228020301200205
Grimminger PP, Hadzijusufovic E, Lang H (2018) Robotic-assisted Ivor Lewis Esophagectomy (RAMIE) with a standardized intrathoracic circular end-to-side stapled anastomosis and a team of two (surgeon and assistant only). Thorac Cardiovasc Surg 66:404–406. https://doi.org/10.1055/s-0037-1606198
Hernandez JM, Dimou F, Weber J et al (2013) Defining the learning curve for robotic-assisted esophagogastrectomy. J Gastrointest Surg 17:1346–1351. https://doi.org/10.1007/s11605-013-2225-2
Kalil AC, Metersky ML, Klompas M et al (2016) Management of adults with hospital-acquired and ventilator-associated pneumonia: 2016 Clinical Practice Guidelines by the Infectious Diseases Society of America and the American Thoracic Society. Clin Infect Dis 63:e61–e111. https://doi.org/10.1093/cid/ciw353
Katayama H, Kurokawa Y, Nakamura K et al (2016) Extended Clavien-Dindo classification of surgical complications: Japan Clinical Oncology Group postoperative complications criteria. Surg Today 46:668–685. https://doi.org/10.1007/s00595-015-1236-x
Kingma BF, De Maat MFG, Van Der Horst S et al (2019) Robot-assisted minimally invasive esophagectomy (RAMIE) improves perioperative outcomes: a review. J Thorac Dis 11:S735-S742:10.21037/jtd.2018.11.104
Kingma BF, Grimminger PP, Van Der Sluis PC et al (2020) Worldwide techniques and outcomes in robot-assisted minimally invasive esophagectomy (RAMIE): Results from the multicenter international registry. Ann Surg. https://doi.org/10.1097/SLA.0000000000004550
Kingma BF, Hadzijusufovic E, Van Der Sluis PC et al (2020) A structured training pathway to implement robot-assisted minimally invasive esophagectomy: the learning curve results from a high-volume center. Dis Esophagus 33. https://doi.org/10.1093/dote/doaa047
Lagergren J, Smyth E, Cunningham D et al (2017) Oesophageal cancer. Lancet 390:2383–2396. https://doi.org/10.1016/S0140-6736(17)31462-9
Low DE, Alderson D, Cecconello I et al (2015) International consensus on standardization of data collection for complications associated with esophagectomy: esophagectomy complications consensus group (ECCG). Ann Surg 262:286–294. https://doi.org/10.1097/SLA.0000000000001098
Maas KW, Cuesta MA, Van Berge Henegouwen MI et al (2015) Quality of life and late complications after minimally invasive compared to open esophagectomy: results of a randomized trial. World J Surg 39:1986–1993. https://doi.org/10.1007/s00268-015-3100-y
Mariette C, Markar SR, Dabakuyo-Yonli TS et al (2019) Hybrid Minimally invasive esophagectomy for esophageal cancer. N Engl J Med 380:152–162. https://doi.org/10.1056/NEJMoa1805101
Markar SR, Ni M, Gisbertz SS et al (2020) Implementation of minimally invasive esophagectomy from a randomized controlled trial setting to national practice. J Clin Oncol 38:2130–2139. https://doi.org/10.1200/JCO.19.02483
Mehdorn AS, Moller T, Franke F et al (2020) Long-Term, health-related quality of life after open and robot-assisted Ivor-Lewis procedures-a propensity score-matched study. J Clin Med 9. https://doi.org/10.3390/jcm9113513
Muller DT, Babic B, Herbst V et al (2020) Does circular stapler size in surgical management of esophageal cancer affect anastomotic leak rate? 4-Year Experience of a European High-Volume Center. Cancers (Basel) 12. https://doi.org/10.3390/cancers12113474
Na KJ, Park S, Park IK et al (2019) Outcomes after total robotic esophagectomy for esophageal cancer: a propensity-matched comparison with hybrid robotic esophagectomy. J Thorac Dis 11(5310-5320):10.21037/jtd.2019.11.58
Nuytens F, Dabakuyo-Yonli TS, Meunier B et al (2021) Five-year survival outcomes of hybrid minimally invasive esophagectomy in esophageal cancer: results of the miro randomized clinical trial. JAMA Surg 156:323–332. https://doi.org/10.1001/jamasurg.2020.7081
Pointer DT Jr, Saeed S, Naffouje SA et al (2020) Outcomes of 350 Robotic-assisted esophagectomies at a high-volume cancer center: a contemporary propensity-score matched analysis. Ann Surg. https://doi.org/10.1097/SLA.0000000000004317
Sarkaria IS, Rizk NP, Goldman DA et al (2019) Early quality of life outcomes after robotic-assisted minimally invasive and open esophagectomy. Ann Thorac Surg 108:920–928. https://doi.org/10.1016/j.athoracsur.2018.11.075
Soomro NA, Hashimoto DA, Porteous AJ et al (2020) Systematic review of learning curves in robot-assisted surgery. BJS Open 4:27–44. https://doi.org/10.1002/bjs5.50235
Straatman J, Van Der Wielen N, Cuesta MA et al (2017) Minimally Invasive versus open esophageal resection: three-year follow-up of the previously reported randomized controlled trial: the TIME trial. Ann Surg 266:232–236. https://doi.org/10.1097/SLA.0000000000002171
Tagkalos E, Van Der Sluis PC, Uzun E et al (2021) The circular stapled esophagogastric anastomosis in esophagectomy: no differences in anastomotic insufficiency and stricture rates between the 25 mm and 28 mm circular stapler. J Gastrointest Surg 25:2242–2249. https://doi.org/10.1007/s11605-020-04895-x
Tapias LF, Morse CR (2014) Minimally invasive Ivor Lewis esophagectomy: description of a learning curve. J Am Coll Surg 218:1130–1140. https://doi.org/10.1016/j.jamcollsurg.2014.02.014
Tsunoda S, Obama K, Hisamori S et al (2021) Lower incidence of postoperative pulmonary complications following robot-assisted minimally invasive esophagectomy for esophageal cancer: propensity score-matched comparison to conventional minimally invasive esophagectomy. Ann Surg Oncol 28:639–647. https://doi.org/10.1245/s10434-020-09081-6
Van Der Sluis PC, Ruurda JP, Van Der Horst S et al (2018) Learning curve for robot-assisted minimally invasive thoracoscopic esophagectomy: results from 312 cases. Ann Thorac Surg 106:264–271. https://doi.org/10.1016/j.athoracsur.2018.01.038
Van Der Sluis PC, Tagkalos E, Hadzijusufovic E et al (2021) Robot-assisted minimally invasive esophagectomy with intrathoracic anastomosis (Ivor Lewis): promising results in 100 consecutive patients (the european experience). J Gastrointest Surg 25:1–8. https://doi.org/10.1007/s11605-019-04510-8
Van Der Sluis PC, Van Der Horst S, May AM et al (2019) Robot-assisted minimally invasive thoracolaparoscopic esophagectomy versus open transthoracic esophagectomy for resectable esophageal cancer: a randomized controlled trial. Ann Surg 269:621–630. https://doi.org/10.1097/SLA.0000000000003031
Van Workum F, Slaman AE, Van Berge Henegouwen MI et al (2020) Propensity score-matched analysis comparing minimally invasive ivor lewis versus minimally invasive mckeown esophagectomy. Ann Surg 271:128–133. https://doi.org/10.1097/SLA.0000000000002982
Wang M, Meng L, Cai Y et al (2016) Learning curve for laparoscopic pancreaticoduodenectomy: a CUSUM analysis. J Gastrointest Surg 20:924–935. https://doi.org/10.1007/s11605-016-3105-3
Zheng C, Li XK, Zhang C et al (2021) Comparison of short-term clinical outcomes between robot-assisted minimally invasive esophagectomy and video-assisted minimally invasive esophagectomy: a systematic review and meta-analysis. J Thorac Dis 13(708-719):10.21037/jtd-20-2896
Acknowledgements
The authors thank all study nurses and the scientific staff who were involved in the present study.
Funding
Open Access funding enabled and organized by Projekt DEAL. The study was funded by Intuitive Surgical (Intuitive). None of the authors received honoraria from the company in the context of this trial.
Author information
Authors and Affiliations
Contributions
J. Weitz, T. Becker, J. R. Izbicki, and J. Pratschke made substantial contributions to conception and design. F. Merboth, S. Korn, C. Praetorius, M. Biebl, F. Nickel, and D. Perez were responsible for acquisition of data. Analysis and interpretation of data was accomplished by J.-H. Egberts, T. Welsch, F. Merboth, D. E. Stange, M. Distler, M. Biebl, B. Müller-Stich, and D. Perez. Responsible for drafting the manuscript were J.-H. Egberts, T. Welsch, F. Merboth, D. E. Stange, M. Distler, S. Korn, C. Praetorius, and F. Nickel. A critical revision was given by M. Biebl, B. Müller-Stich, D. Perez, J. Weitz, T. Becker, J. R. Izbicki, and J. Pratschke. All Authors gave final approval of the version to be published.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no competing interests.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
![](http://media.springernature.com/lw227/springer-static/esm/art%3A10.1007%2Fs00423-022-02520-w/MediaObjects/423_2022_2520_Fig4_ESM.png)
Fig. S1.
Operative time for RAMIE including all centers. (A) Abdominal part. (B) Thoracic part. hRAMIE procedures and operations with conversion were excluded. In A, the median operation time for the abdominal part in minutes is shown depending on chronological grou** of 15 cases (*p<0.001). In B, the median operation time for the thoracic part in minutes is shown depending on the chronological grou** of 15 cases (*p≤0.023). (PNG 6 kb)
![](http://media.springernature.com/lw227/springer-static/esm/art%3A10.1007%2Fs00423-022-02520-w/MediaObjects/423_2022_2520_Fig5_ESM.png)
ESM 1
(PNG 6 kb)
ESM 2
(DOCX 24 kb)
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Egberts, JH., Welsch, T., Merboth, F. et al. Robotic-assisted minimally invasive Ivor Lewis esophagectomy within the prospective multicenter German da Vinci ** registry trial. Langenbecks Arch Surg 407, 1–11 (2022). https://doi.org/10.1007/s00423-022-02520-w
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00423-022-02520-w